Search

Your search keyword '"Jiao, Xiaoyang"' showing total 263 results
Start Over Author "Jiao, Xiaoyang"
263 results on '"Jiao, Xiaoyang"'

22. Detection of Neonicotinoid Insecticides and Their Metabolites in Human Cerebrospinal Fluid

Author

Li, Adela Jing, Si, Mengya, Yin, Renli, Qiu, Rongliang, Li, Huashou, Yao, Fen, Yu, Yunjiang, Liu, Wenhua, Wang, Zhen, and Jiao, Xiaoyang

Subjects
Metabolites -- Testing, Cerebrospinal fluid -- Testing, Insecticides -- Testing, Environmental issues, Health
Abstract

Introduction Neonicotinoid insecticides (NEOs) are now the most widely used neurotoxic insecticides on 140 crops in 120 countries. (1) Global use of NEOs has caused growing concerns for decline of [...]

Published
2022
Full Text
View/download PDF

24. Vertical changes in water depth and environmental variables drove the antibiotics and antibiotic resistomes distribution, and microbial food web structures in the estuary and marine ecosystems

Author

Ebiotubo Ohore, Okugbe, primary, Edouard Ifon, Binessi, additional, Wang, Yuwen, additional, Shabi Ul Hassan Kazmi, Syed, additional, Zhang, Jingli, additional, Sanganyado, Edmond, additional, Jiao, Xiaoyang, additional, Liu, Wenhua, additional, and Wang, Zhen, additional

Published
2023
Full Text
View/download PDF

31. Characterization of antibiotic resistance genes and mobile elements in extended-spectrum β-lactamase-producing Escherichia coli strains isolated from hospitalized patients in Guangdong, China.

Author

Shafiq, Muhammad, Bilal, Hazrat, Permana, Budi, Xu, Danhong, Cai, Gengzhong, Li, Xin, Zeng, Mi, Yuan, Yumeng, Jiao, Xiaoyang, and Yao, Fen

Subjects
KLEBSIELLA pneumoniae, ENTEROBACTERIACEAE, MOBILE genetic elements, HORIZONTAL gene transfer, DRUG resistance in bacteria, ESCHERICHIA coli, HOSPITAL patients
Abstract

Aim This study aimed to investigate the high-resolution phenotypic and genotypic characterization of extended-spectrum β-lactamase (ESBL)-producing Escherichia coli strains isolated from hospitalized patients to explore the resistance genes and mobile genetic elements (MGEs) involved in horizontal dissemination. Methods Between May and September 2021, a total of 216 ESBL-producing E. coli isolates were recovered from multiple departments. The identification of strains was performed using MALDI-TOF mass spectrometry and PCR, while antibiotic susceptibility testing was carried out using the Vitek 2 COMPACT system to determine resistance patterns, while PCR was used to detect different resistance genes and MGEs. In addition, a conjugation assay was performed to investigate the horizontal gene transfer of resistance genes. Selected isolates underwent whole-genome sequencing (WGS) using the Illumina MiSeq platform. Results A total of 216 out of 409 E. coli isolates recovered from a tertiary hospital were observed to be ESBL-producing, giving a carriage rate of 52.8%, as determined by phenotypic screening. The most frequent sources of ESBL-producing E. coli isolates were urine (129/216, 59.72%) and blood (50/216, 23.14%). The most prevalent ESBL genes identified were bla CTX-M (60.18%), bla TEM (40.27%), and bla SHV (18.05%). Three E. coli isolates were found to carry the genes bla NDM, mcr-1 , and fosA3 genes. The most prevalent MGEs were IS 26 (95.37%), Int (87.03%), and IncFIB (76.85%). WGS analysis of eight MDR E. coli strains revealed that these isolates belonged to eight different sequence types (STs) and serotypes and were found to harbor multiple plasmid replicons and virulence factors. Conclusion This study highlights a high incidence of antibiotic resistance genes and MGEs associated with the dissemination of ESBLs and other resistance genes. [ABSTRACT FROM AUTHOR]

Published
2023
Full Text
View/download PDF

37. Genomic analysis of sewage from 101 countries reveals global landscape of antimicrobial resistance

Author

Munk, Patrick, Brinch, Christian, Møller, Frederik Duus, Petersen, Thomas N., Hendriksen, Rene S., Seyfarth, Anne Mette, Kjeldgaard, Jette S., Svendsen, Christina Aaby, van Bunnik, Bram, Berglund, Fanny, Bego, Artan, Power, Pablo, Rees, Catherine, Lambrinidis, Dionisia, Neilson, Elizabeth Heather Jakobsen, Gibb, Karen, Coventry, Kris, Collignon, Peter, Cassar, Susan, Allerberger, Franz, Begum, Anowara, Hossain, Zenat Zebin, Worrell, Carlon, Vandenberg, Olivier, Pieters, Ilse, Victorien, Dougnon Tamègnon, Gutierrez, Angela Daniela Salazar, Soria, Freddy, Grujić, Vesna Rudić, Mazalica, Nataša, Rahube, Teddie O., Tagliati, Carlos Alberto, Rodrigues, Dalia, Oliveira, Guilherme, de Souza, Larissa Camila Ribeiro, Ivanov, Ivan, Juste, Bonkoungou Isidore, Oumar, Traoré, Sopheak, Thet, Vuthy, Yith, Ngandijo, Antoinette, Nzouankeu, Ariane, Olivier, Ziem A. Abah Jacques, Yost, Christopher K., Kumar, Pratik, Brar, Satinder Kaur, Tabo, Djim-Adjim, Adell, Aiko D., Paredes-Osses, Esteban, Martinez, Maria Cristina, Cuadros-Orellana, Sara, Ke, Changwen, Zheng, Huanying, Baisheng, Li, Lau, Lok Ting, Chung, Teresa, Jiao, Xiaoyang, Yu, Yongjie, JiaYong, Zhao, Morales, Johan F. Bernal, Valencia, Maria Fernanda, Donado-Godoy, Pilar, Coulibaly, Kalpy Julien, Hrenovic, Jasna, Jergović, Matijana, Karpíšková, Renáta, Deogratias, Zozo Nyarukweba, Elsborg, Bodil, Hansen, Lisbeth Truelstrup, Jensen, Pernille Erland, Abouelnaga, Mohamed, Salem, Mohamed Fathy, Koolmeister, Marliin, Legesse, Mengistu, Eguale, Tadesse, Heikinheimo, Annamari, Le Guyader, Soizick, Schaeffer, Julien, Villacis, Jose Eduardo, Sanneh, Bakary, Malania, Lile, Nitsche, Andreas, Brinkmann, Annika, Schubert, Sara, Hesse, Sina, Berendonk, Thomas U., Saba, Courage Kosi Setsoafia, Mohammed, Jibril, Feglo, Patrick Kwame, Banu, Regina Ama, Kotzamanidis, Charalampos, Lytras, Efthymios, Lickes, Sergio A., Kocsis, Bela, Solymosi, Norbert, Thorsteinsdottir, Thorunn R., Hatha, Abdulla Mohamed, Ballal, Mamatha, Bangera, Sohan Rodney, Fani, Fereshteh, Alebouyeh, Masoud, Morris, Dearbhaile, O’Connor, Louise, Cormican, Martin, Moran-Gilad, Jacob, Battisti, Antonio, Diaconu, Elena Lavinia, Corno, Gianluca, Di Cesare, Andrea, Alba, Patricia, Hisatsune, Junzo, Yu, Liansheng, Kuroda, Makoto, Sugai, Motoyuki, Kayama, Shizuo, Shakenova, Zeinegul, Kiiyukia, Ciira, Ng’eno, Eric, Raka, Lul, Jamil, Kazi, Fakhraldeen, Saja Adel, Alaati, Tareq, Bērziņš, Aivars, Avsejenko, Jeļena, Kokina, Kristina, Streikisa, Madara, Bartkevics, Vadims, Matar, Ghassan M., Daoud, Ziad, Pereckienė, Asta, Butrimaite-Ambrozeviciene, Ceslova, Penny, Christian, Bastaraud, Alexandra, Rasolofoarison, Tiavina, Collard, Jean-Marc, Samison, Luc Hervé, Andrianarivelo, Mala Rakoto, Banda, Daniel Lawadi, Amin, Arshana, Rajandas, Heraa, Parimannan, Sivachandran, Spiteri, David, Haber, Malcolm Vella, Santchurn, Sunita J., Vujacic, Aleksandar, Djurovic, Dijana, Bouchrif, Brahim, Karraouan, Bouchra, Vubil, Delfino Carlos, Pal, Pushkar, Schmitt, Heike, van Passel, Mark, Jeunen, Gert-Jan, Gemmell, Neil, Chambers, Stephen T., Mendoza, Fania Perez, Huete-Pιrez, Jorge, Vilchez, Samuel, Ahmed, Akeem Olayiwola, Adisa, Ibrahim Raufu, Odetokun, Ismail Ayoade, Fashae, Kayode, Sørgaard, Anne-Marie, Wester, Astrid Louise, Ryrfors, Pia, Holmstad, Rune, Mohsin, Mashkoor, Hasan, Rumina, Shakoor, Sadia, Gustafson, Natalie Weiler, Schill, Claudia Huber, Rojas, Maria Luz Zamudio, Velasquez, Jorge Echevarria, Magtibay, Bonifacio B., Catangcatang, Kris, Sibulo, Ruby, Yauce, Felipe Campos, Wasyl, Dariusz, Manaia, Celia, Rocha, Jaqueline, Martins, Jose, Álvaro, Pedro, Di Yoong Wen, Doris, Shin, Hanseob, Hur, Hor-Gil, Yoon, Sukhwan, Bosevska, Golubinka, Kochubovski, Mihail, Cojocaru, Radu, Burduniuc, Olga, Hong, Pei-Ying, Perry, Meghan Rose, Gassama, Amy, Radosavljevic, Vladimir, Tay, Moon Y. F., Zuniga-Montanez, Rogelio, Wuertz, Stefan, Gavačová, Dagmar, Pastuchová, Katarína, Truska, Peter, Trkov, Marija, Keddy, Karen, Esterhuyse, Kerneels, Song, Min Joon, Quintela-Baluja, Marcos, Lopez, Mariano Gomez, Cerdà-Cuéllar, Marta, Perera, R.R.D.P., Bandara, N.K.B.K.R.G.W., Premasiri, H.I., Pathirage, Sujatha, Charlemagne, Kareem, Rutgersson, Carolin, Norrgren, Leif, Örn, Stefan, Boss, Renate, Van der Heijden, Tanja, Hong, Yu-Ping, Kumburu, Happiness Houka, Mdegela, Robinson Hammerthon, Hounmanou, Yaovi Mahuton Gildas, Chonsin, Kaknokrat, Suthienkul, Orasa, Thamlikitkul, Visanu, de Roda Husman, Ana Maria, Bidjada, Bawimodom, Njanpop-Lafourcade, Berthe-Marie, Nikiema-Pessinaba, Somtinda Christelle, Levent, Belkis, Kurekci, Cemil, Ejobi, Francis, Kalule, John Bosco, Thomsen, Jens, Obaidi, Ouidiane, Jassim, Laila Mohamed, Moore, Andrew, Leonard, Anne, Graham, David W., Bunce, Joshua T., Zhang, Lihong, Gaze, William H., Lefor, Brett, Capone, Drew, Sozzi, Emanuele, Brown, Joe, Meschke, John Scott, Sobsey, Mark D., Davis, Michael, Beck, Nicola Koren, Sukapanpatharam, Pardi, Truong, Phuong, Lilienthal, Ronald, Kang, Sanghoon, Wittum, Thomas E., Rigamonti, Natalia, Baklayan, Patricia, Van, Chinh Dang, Tran, Doan Minh Nguyen, Do Phuc, Nguyen, Kwenda, Geoffrey, Larsson, D. G. Joakim, Koopmans, Marion, Woolhouse, Mark, Aarestrup, Frank M., Virology, Producció Animal, and Sanitat Animal

Subjects
genomic analysis, sewage, antimicrobial resistance, Multidisciplinary, Sewage, Drug Resistance, Bacterial, Metagenome, General Physics and Astronomy, Drug Resistance, Bacterial/genetics, Genomics, General Chemistry, General Biochemistry, Genetics and Molecular Biology, Anti-Bacterial Agents/pharmacology, Anti-Bacterial Agents
Abstract

Antimicrobial resistance (AMR) is a major threat to global health. Understanding the emergence, evolution, and transmission of individual antibiotic resistance genes (ARGs) is essential to develop sustainable strategies combatting this threat. Here, we use metagenomic sequencing to analyse ARGs in 757 sewage samples from 243 cities in 101 countries, collected from 2016 to 2019. We find regional patterns in resistomes, and these differ between subsets corresponding to drug classes and are partly driven by taxonomic variation. The genetic environments of 49 common ARGs are highly diverse, with most common ARGs carried by multiple distinct genomic contexts globally and sometimes on plasmids. Analysis of flanking sequence revealed ARG-specific patterns of dispersal limitation and global transmission. Our data furthermore suggest certain geographies are more prone to transmission events and should receive additional attention. Antimicrobial resistance (AMR) is a major threat to global health. Understanding the emergence, evolution, and transmission of individual antibiotic resistance genes (ARGs) is essential to develop sustainable strategies combatting this threat. Here, we use metagenomic sequencing to analyse ARGs in 757 sewage samples from 243 cities in 101 countries, collected from 2016 to 2019. We find regional patterns in resistomes, and these differ between subsets corresponding to drug classes and are partly driven by taxonomic variation. The genetic environments of 49 common ARGs are highly diverse, with most common ARGs carried by multiple distinct genomic contexts globally and sometimes on plasmids. Analysis of flanking sequence revealed ARG-specific patterns of dispersal limitation and global transmission. Our data furthermore suggest certain geographies are more prone to transmission events and should receive additional attention.

Published
2022

39. Can the Artificial Intelligence System for Urine Microalbuminuria Detection Monitor the Progression of Diabetic Kidney Disease in the Clinical Laboratory?

Author

Lin, Xiaozhe, primary, Xiao, Yingxiu, additional, Tian, Yaqiong, additional, Cheng, Bizhen, additional, Jiao, Xiaoyang, additional, Yang, Xinran, additional, Wang, Yongni, additional, Xiong, Wenjing, additional, Guo, Wenyan, additional, Wu, Qingyu, additional, and Zhang, Qiaoxin, additional

Published
2022
Full Text
View/download PDF

42. Photodynamic therapy treats acne by altering the composition of the skin microbiota.

Author

Guo, Yangmin, Zeng, Mi, Yuan, Yumeng, Yuan, Mengsi, Chen, Yanxia, Yu, Haoyang, Liu, Ruimin, Ruan, Zhijie, Xie, Qingdong, Jiao, Xiaoyang, and Lu, Tao

Subjects
PHOTODYNAMIC therapy, ACNE, CUTIBACTERIUM acnes, STAPHYLOCOCCUS epidermidis, RIBOSOMAL RNA, SKIN
Abstract

Background: Acne is the eighth‐most prevalent inflammatory skin disease with no optimal treatment. Photodynamic therapy (PDT) is an effective treatment for severe acne. Aims: The effect of PDT on the composition and diversity of skin microflora in severe acne patients was studied. Materials and Methods: A total of 18 patients with severe acne and 8 healthy individuals were selected for this study. Patients were treated with 5‐aminolevulinic acid‐mediated PDT once a week three times in total; the skin microbiome was measured by 16S ribosomal RNA gene sequencing before and after treatment (1 week after each PDT). Results: The microflora composition was different between healthy controls and patients, and between patients before and after treatment. Alpha diversity indices were lower in patients than those in control. There were 15 bacterial genera with high relative abundance that had noticeable changes during treatment. At the genus level,particularly Cutibacterium acnes (C. acnes formerly Propionibacterium acnes), there was no statistically significant difference among different group. The abundances of Staphylococcus epidermidis and Staphylococcus aureus were low. Discussion: The microbial composition is different between severe acne patients acne patients and healthy individuals. The therapeutic efficacy of severe acne treated with PDT is associated with the composition and diversity of skin microbiota. Conclusion: The skin microbial composition changes after PDT treatment. PDT is an effective method for the treatment of severe acne. [ABSTRACT FROM AUTHOR]

Published
2023
Full Text
View/download PDF

44. The Role of Fecal Fusobacterium nucleatum and pks+ Escherichia coli as Early Diagnostic Markers of Colorectal Cancer

Author

Liu, Kaixi, primary, Yang, Xinran, additional, Zeng, Mi, additional, Yuan, Yumeng, additional, Sun, Jianhong, additional, He, Ping, additional, Sun, Jiayu, additional, Xie, Qingdong, additional, Chang, Xiaolan, additional, Zhang, Suwei, additional, Chen, Xiang, additional, Cai, Leshan, additional, Xie, Yanxuan, additional, and Jiao, Xiaoyang, additional

Published
2021
Full Text
View/download PDF

48. Aberrant cytokine expression in COVID-19 patients: Associations between cytokines and disease severity

Author

Tang, Yueting, primary, Sun, Jiayu, additional, Pan, Huaqin, additional, Yao, Fen, additional, Yuan, Yumeng, additional, Zeng, Mi, additional, Ye, Guangming, additional, Yang, Gui, additional, Zheng, Bokun, additional, Fan, Junli, additional, Pan, Yunbao, additional, Zhao, Ziwu, additional, Guo, Shuang, additional, Liu, Yinjuan, additional, Liao, Fanlu, additional, Duan, Yongwei, additional, Jiao, Xiaoyang, additional, and Li, Yirong, additional

Published
2021
Full Text
View/download PDF

49. Global monitoring of antimicrobial resistance based on metagenomics analyses of urban sewage

Author

Hendriksen, Rene S., Munk, Patrick, Njage, Patrick, van Bunnik, Bram, McNally, Luke, Lukjancenko, Oksana, Röder, Timo, Nieuwenhuijse, David, Pedersen, Susanne Karlsmose, Kjeldgaard, Jette, Kaas, Rolf S., Clausen, Philip Thomas Lanken Conradsen, Vogt, Josef Korbinian, Leekitcharoenphon, Pimlapas, van de Schans, Milou G.M., Zuidema, Tina, de Roda Husman, Ana Maria, Rasmussen, Simon, Petersen, Bent, Bego, Artan, Rees, Catherine, Cassar, Susan, Coventry, Kris, Collignon, Peter, Allerberger, Franz, Rahube, Teddie O., Oliveira, Guilherme, Ivanov, Ivan, Vuthy, Yith, Sopheak, Thet, Yost, Christopher K., Ke, Changwen, Zheng, Huanying, Baisheng, Li, Jiao, Xiaoyang, Donado-Godoy, Pilar, Coulibaly, Kalpy Julien, Jergović, Matijana, Hrenovic, Jasna, Karpíšková, Renáta, Villacis, Jose Eduardo, Legesse, Mengistu, Eguale, Tadesse, Heikinheimo, Annamari, Malania, Lile, Nitsche, Andreas, Brinkmann, Annika, Saba, Courage Kosi Setsoafia, Kocsis, Bela, Solymosi, Norbert, Thorsteinsdottir, Thorunn R., Hatha, Abdulla Mohamed, Alebouyeh, Masoud, Morris, Dearbhaile, Cormican, Martin, O’Connor, Louise, Moran-Gilad, Jacob, Alba, Patricia, Battisti, Antonio, Shakenova, Zeinegul, Kiiyukia, Ciira, Ng’eno, Eric, Raka, Lul, Avsejenko, Jeļena, Bērziņš, Aivars, Bartkevics, Vadims, Penny, Christian, Rajandas, Heraa, Parimannan, Sivachandran, Haber, Malcolm Vella, Pal, Pushkar, Jeunen, Gert Jan, Gemmell, Neil, Fashae, Kayode, Holmstad, Rune, Hasan, Rumina, Shakoor, Sadia, Rojas, Maria Luz Zamudio, Wasyl, Dariusz, Bosevska, Golubinka, Kochubovski, Mihail, Radu, Cojocaru, Gassama, Amy, Radosavljevic, Vladimir, Wuertz, Stefan, Zuniga-Montanez, Rogelio, Tay, Moon Y.F., Gavačová, Dagmar, Pastuchova, Katarina, Truska, Peter, Trkov, Marija, Esterhuyse, Kerneels, Keddy, Karen, Cerdà-Cuéllar, Marta, Pathirage, Sujatha, Norrgren, Leif, Örn, Stefan, Larsson, D. G.Joakim, Heijden, Tanja Van der, Kumburu, Happiness Houka, Sanneh, Bakary, Bidjada, Pawou, Njanpop-Lafourcade, Berthe Marie, Nikiema-Pessinaba, Somtinda Christelle, Levent, Belkis, Meschke, John Scott, Beck, Nicola Koren, Van, Chinh Dang, Tran, Doan Minh Nguyen, Kwenda, Geoffrey, Tabo, Djim adjim, Wester, Astrid Louise, Cuadros-Orellana, Sara, Amid, Clara, Cochrane, Guy, Sicheritz-Ponten, Thomas, Schmitt, Heike, Alvarez, Jorge Raul Matheu, Aidara-Kane, Awa, Pamp, Sünje J., Lund, Ole, Hald, Tine, Woolhouse, Mark, Koopmans, Marion P., Vigre, Håkan, Petersen, Thomas Nordahl, Aarestrup, Frank M., Sub RIVM, dIRAS RA-I&I RA, One Health Microbieel, dIRAS RA-I&I I&I, University of Helsinki, Food Hygiene and Environmental Health, Producció Animal, Sanitat Animal, Tilraunastöð í meinafræði að Keldum (HÍ), Institute for Experimental Pathology, Keldur (UI), Heilbrigðisvísindasvið (HÍ), School of Health Sciences (UI), Háskóli Íslands, University of Iceland, Food Hygiene and Environmental Health, Helsinki One Health (HOH), Zoonotic Antimicrobial Resistance, and Virology

Subjects
0301 basic medicine, Water microbiology, global surveillance, Sanitation, Kwantitatieve Veterinaire Epidemiologie, Drug Resistance, General Physics and Astronomy, Sewage, 02 engineering and technology, Drug resistance, Antimicrobial resistance, 413 Veterinary science, BU Veterinary Drugs, Abundance (ecology), Drug Resistance, Multiple, Bacterial, Genamengi, AMR, lcsh:Science, resistome, Ónæmisfræði, Multidisciplinary, Population Health, 021001 nanoscience & nanotechnology, 3. Good health, Europe, machine learning, Geography, Epidemiological Monitoring, 0210 nano-technology, Asia, Science, Microbial Consortia, Oceania, Article, General Biochemistry, Genetics and Molecular Biology, BU Dierbehandelingsmiddelen, 03 medical and health sciences, Antibiotic resistance, SDG 3 - Good Health and Well-being, Environmental health, Erfðafræði, Life Science, Humans, ddc:610, wastewater, Ecological epidemiology, Bacteria, business.industry, Quantitative Veterinary Epidemiology, prediction, General Chemistry, South America, Resistome, 030104 developmental biology, Genes, Socioeconomic Factors, 416 Food Science, Genes, Bacterial, Metagenomics, ENVIRONMENTAL SURVEILLANCE, Africa, North America, Metagenome, UPDATE, lcsh:Q, business, 610 Medizin und Gesundheit
Abstract

Publisher's version (útgefin grein), Antimicrobial resistance (AMR) is a serious threat to global public health, but obtaining representative data on AMR for healthy human populations is difficult. Here, we use metagenomic analysis of untreated sewage to characterize the bacterial resistome from 79 sites in 60 countries. We find systematic differences in abundance and diversity of AMR genes between Europe/North-America/Oceania and Africa/Asia/South-America. Antimicrobial use data and bacterial taxonomy only explains a minor part of the AMR variation that we observe. We find no evidence for cross-selection between antimicrobial classes, or for effect of air travel between sites. However, AMR gene abundance strongly correlates with socio-economic, health and environmental factors, which we use to predict AMR gene abundances in all countries in the world. Our findings suggest that global AMR gene diversity and abundance vary by region, and that improving sanitation and health could potentially limit the global burden of AMR. We propose metagenomic analysis of sewage as an ethically acceptable and economically feasible approach for continuous global surveillance and prediction of AMR., We are grateful to Hanne Nørgaard Nielsen, Christina Aaby Svendsen, Jacob Dyring Jensen, Birthe S. Rosenqvist Lund, Kate Vina Vibefeldt, Inge Marianne Hansen, Gunhild Larsen, Hanne Mordhorst, and Carsten Bidstrup for technical assistance. We also thank Jeffrey Edward Skiby for internal review. This study has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement no. 643476 (COMPARE), the World Health Organization, The Villum Foundation (VKR023052), and The Novo Nordisk Foundation (NNF16OC0021856: Global Surveillance of Antimicrobial Resistance).

Published
2019

50. Correction to: Setting a baseline for global urban virome surveillance in sewage

Author

Nieuwenhuijse, David F., Oude Munnink, Bas B., Phan, My V.T., Hendriksen, Rene S., Bego, Artan, Rees, Catherine, Neilson, Elizabeth Heather, Coventry, Kris, Collignon, Peter, Allerberger, Franz, Rahube, Teddie O., Oliveira, Guilherme, Ivanov, Ivan, Sopheak, Thet, Vuthy, Yith, Yost, Christopher K., Tabo, Djim Adjim, Cuadros-Orellana, Sara, Ke, Changwen, Zheng, Huanying, Baisheng, Li, Jiao, Xiaoyang, Donado-Godoy, Pilar, Coulibaly, Kalpy Julien, Hrenovic, Jasna, Jergović, Matijana, Karpíšková, Renáta, Elsborg, Bodil, Legesse, Mengistu, Eguale, Tadesse, Heikinheimo, Annamari, Villacis, Jose Eduardo, Sanneh, Bakary, Malania, Lile, Nitsche, Andreas, Brinkmann, Annika, Saba, Courage Kosi Setsoafia, Kocsis, Bela, Solymosi, Norbert, Thorsteinsdottir, Thorunn R., Hatha, Abdulla Mohamed, Alebouyeh, Masoud, Morris, Dearbhaile, O’Connor, Louise, Cormican, Martin, Moran-Gilad, Jacob, van Passel, Mark, van de Schans, Milou G.M., Zuidema, Tina, and Koopmans, Marion P.G.

Subjects
Team Animal Drugs 1, Life Science
Abstract

The Acknowledgements section in the original version of this Article was incomplete. “This study has received funding from the European Union’s Horizon 2020 research and innovation program under Grant agreement no. 643476 (COMPARE), the World Health Organization, and The Novo Nordisk Foundation (NNF16OC0021856: Global Surveillance of Antimicrobial Resistance). We would like to thank Miranda de Graaf for the technical assistance at Erasmus MC.” now reads: “This study has received funding from the European Union’s Horizon 2020 research and innovation program under Grant agreement no. 643476 (COMPARE), the World Health Organization, and The Novo Nordisk Foundation (NNF16OC0021856: Global Surveillance of Antimicrobial Resistance). My V. T. Phan was supported by a Marie Sklodowska-Curie Individual Fellowship, funded by the EU H2020 research and innovation programme (Grant Agreement No. 799417). We would like to thank Miranda de Graaf for the technical assistance at Erasmus MC.” The original Article has been corrected.

Published
2021

Catalog

Books, media, physical & digital resources
See catalog results